Independant European SPSS User Group

York 2017 programme




The 31st annual IBM SPSS Statistics users group meeting was held at the Alcuin Research Resource Centre, University of York, on Friday 20th November 2017. Links to synopses and talk slides are listed beside the items.

Parallel Workshop sessions

  • An introduction to IBM SPSS Statistics for complete beginners by Keith Bentley, University of Salford

  • Determining area types: by classification using k-means cluster analysis and by developing a deprivation index using SPSS by Paul Norman, University of Leeds

Users meeting programme

  • An introduction to using Exploratory Factor Analysis in IBM SPSS Statistics by Anne Laure Humbert, University of Cranfield, slides in pptx powerpoint or PDF
  • Showcasing the use of Factor Analysis in data reduction: Research on learner support for In-service teachers by Richard Ouma, University of York, slides in pptx powerpoint or PDF
  • A Cluster Analysis of local authority data using IBM SPSS Statistics by Kitty Lymperopoulou, Cathie Marsh Centre, University of Manchester, slides in PDF
  • A case study using item response theory methods in IBM SPSS (recorded webinar) by Dusan Magula, IBM SPSS; plenary talk. slides in pptx powerpoint or PDF
  • Oh, how the tables have turned - automating SPSS tables commands to create bulk tabulations, using the ELSA wave 7 dataset by Migle Aleksejunaite and Tania Dimitrova, National Centre for Social Research, no slides as yet

Registration and coffee begins at 9-30am for the morning sessions and at 1-45pm for the afternoon sessions. Morning coffee and afternoon tea are included in the registration fee. A timetable will be e-mailed to delegates in advance.

The venue

Alcuin college view of Alcuin centre

The venue for both the workshops and the users' meeting is the Alcuin Research Resource Centre (ARRC) on York University campus located in Heslington, 2 miles to the south-east of the city centre. It takes 10-15 minutes in a taxi from the railway station. The Number 4 bus runs regularly to the University from York railway station University Parking and location details are on the York uni travel maps. Accommodation is bookable via tourist information on (01904) 621756 or (01904) 554455.